Finite control set model predictive control has received extensive attention because of its excellent dynamic performance; however, it still needs to be studied in terms of torque ripples reduction and parameter robustness. To reduce the steady-state torque ripples and maintain the appropriate antiparameter perturbation ability, in this article, we propose a model predictive direct duty-cycle control (MPD2C) strategy based on “variable control set (VCS).” In the proposed strategy, the direct mapping relations between the electromagnetic torque, flux, and three-phase duty cycles have been established by exploring the dual relationship of vector synthesis and duty cycles. On this basis, the novel predictive model and VCS that uses the three-phase duty cycles as the key variable are constructed. Finally, the proposed strategy determines the three-phase duty cycles from VCS by employing a two-stage optimization mechanism, which means the proposed strategy can generate virtual vectors with multiple insulated gate bipolar transistor (IGBT) switching patterns. Then, the high-precision torque and flux adjustment would be achieved. The experimental results show that VCS-MPD2C has excellent static and dynamic control performance, acceptable execution efficiency, and relatively good parameter robustness.

中文翻译：

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具有可变控制集的 PMSM 驱动系统的模型预测直接占空比控制


有限控制集模型预测控制因其优异的动态性能而受到广泛关注；然而，在扭矩脉动降低和参数鲁棒性方面仍需要研究。为了减少稳态扭矩脉动并保持适当的抗参数扰动能力，在本文中，我们提出了一种基于“可变控制集（VCS）”的模型预测直接占空比控制（MPD2C）策略。在所提出的策略中，通过探索矢量合成和占空比的对偶关系，建立了电磁扭矩、磁通和三相占空比之间的直接映射关系。在此基础上，构建了以三相占空比为关键变量的新型预测模型和VCS。最后，所提出的策略通过采用两级优化机制来确定 VCS 的三相占空比，这意味着所提出的策略可以生成具有多个绝缘栅双极晶体管 (IGBT) 开关模式的虚拟矢量。从而实现高精度的转矩和磁通调节。实验结果表明，VCS-MPD2C具有优异的静态和动态控制性能、可接受的执行效率以及较好的参数鲁棒性。